MATLAB Implementation for License Plate Recognition
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In the field of license plate recognition, several key technologies are essential: license plate detection, text recognition, and character identification. Automatic license plate detection is a crucial step that accurately locates and extracts the license plate region from images, typically implemented using edge detection algorithms like Sobel or Canny filters combined with morphological operations. Character segmentation is another vital technique that separates individual characters from the detected plate region, often achieved through projection-based methods or connected component analysis. Finally, character matching employs pattern recognition algorithms such as template matching or machine learning classifiers (e.g., SVM or CNN) to identify and match each character. These technologies work collaboratively to enable accurate and rapid license plate recognition systems.
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